Type annonces : Postes Doctorant

[PhD] Virtual instrumentation and deep learning for the detection of glial inflammations from diffusion MRI – INRIA/INSA Lyon

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Supervision: Carole Frindel, Hugues Berry Location: CREATIS, MYRIAD team / INRIA Lyon, AIstroSight team Associated Project: ANR Inflamage Brain inflammation plays a central role in many neurological and psychiatric pathologies, including neurodegenerative diseases and certain neurodevelopmental disorders. This inflammation involves, in particular, the activation of glial cells, such as astrocytes…

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[PhD] « Learning Generative World Models of Physical Dynamics » – ISIR/Sorbonne Université

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Thesis topic: Learning Generative World Models of Physical Dynamics Context: AI4Science is an emerging research field that investigates the potential of AI methods to advance scientific discovery, particularly through the modeling of complex natural phenomena. This fast- growing area holds the promise of transforming how research is conducted across a broad…

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[PhD] Trustable Machine Learning : Analysis and Verification of Soft Automata

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Learning automata from their traces has long been addressed from a purely logical perspective (e.g. Angluin’s L* algorithm), until neural architectures offered an amazing alternative : ground breaking performances, summoning models at the boundary between the continuous world and the discrete world, leveraging probabilistic approaches… but providing no guarantees on…

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[PhD] in Self-Supervised Learning and Vision Foundation Models for Fish Species Recognition from Underwater Video Images

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Starting date: September 2026 Application deadline: Open until the position is filled Duration: 36 months Net salary: Approximately €1810 per month. Workplace: Lab-STICC UMR 6285 CNRS, Brittany INP – ENIB, Brest, France Funding: Fully funded by Brittany INP through a French ministerial doctoral contract Context of the PhD position:Lab-STICC is…

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[PhD] CIFRE EURECOM x IMRA, Sophia Antipolis – Event-based Vision for Navigation in Autonomous Systems

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Description Robots, cars as well, are expected to become increasingly autonomous and efficient in terms of navigation, thanks to a range of sensors and the associated data processing based on artificial intelligence. Among existing sensors, event-based cameras offer numerous advantages, however, they have not yet been studied extensively enough to…

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[PHD] Signal Processing for Multiplexed Long Axial Field-of-View Positron Emission Tomography

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Il s’agit d’une thèse CIFRE avec Siemens France, en collaboration entre les services de médecine nucléaire de Brest et Nantes. Le sujet concerne du développement de méthodes de traitement de signal pour améliorer et rendre compatible les méthodes actuelles d’imagerie double-traceur dynamique dans le cadre d’acquisitions sur PET grand-champ. Toutes…

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[PhD] « Efficient Interaction through Information Maximization » – ISIR / Sorbonne Université

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Thesis topic: Efficient Interaction through Information Maximization Context: Designing user interfaces is an iterative process. A designer creates an initial version based on their intuition and experience, then tests it with users and refines it based on feedback. This cycle is repeated until the interface is considered satisfactory. While effective, this…

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[PhD] AI-accelerated SAXS tensor tomography by directional dark-field imaging

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Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence) Location: Grenoble Keywords: X-ray Dark-field Imaging, Small Angle X-ray Scattering, Computational X-rays, ImageReconstruction, Deep Learning Overview: This doctoral project aims to dramatically reduce the acquisition time and computational requirements of small-angle X-ray scattering…

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